[ https://issues.apache.org/jira/browse/FLINK-13869?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Jark Wu resolved FLINK-13869. ----------------------------- Resolution: Fixed 1.10.0: 1da3055338e5f23a3ec4a54152dbf6b4e35e3862 > Hive functions can not work in blink planner stream mode > -------------------------------------------------------- > > Key: FLINK-13869 > URL: https://issues.apache.org/jira/browse/FLINK-13869 > Project: Flink > Issue Type: Bug > Components: Connectors / Hive, Table SQL / Planner > Affects Versions: 1.9.0 > Reporter: Terry Wang > Assignee: Jingsong Lee > Priority: Major > Labels: pull-request-available > Fix For: 1.10.0 > > Attachments: image-2019-08-27-15-36-57-662.png, > image-2019-08-27-15-37-11-230.png > > Time Spent: 20m > Remaining Estimate: 0h > > In flink, specifying the StreamTableEnvironment through the > EnvironmentSetting using the blink planner, when using the UDAF in hive in > the table API, the error is reported. > The hive function should been make by correct constants and argTypes. > Otherwise it will throw an exception. (See HiveAggSqlFunction) > In this isTableAggregate, it just want to check the aggregate function class > type, so the better way is get the function instead of make a function. > {code:java} > Caused by: java.lang.NullPointerException > at java.util.Arrays.stream(Arrays.java:5004) > at java.util.stream.Stream.of(Stream.java:1000) > at > org.apache.flink.table.types.utils.TypeConversions.fromLogicalToDataType(TypeConversions.java:67) > at > org.apache.flink.table.planner.functions.utils.HiveFunctionUtils.invokeSetArgs(HiveFunctionUtils.java:59) > at > org.apache.flink.table.planner.functions.utils.HiveAggSqlFunction.makeFunction(HiveAggSqlFunction.java:68) > at > org.apache.flink.table.planner.functions.utils.HiveAggSqlFunction.makeFunction(HiveAggSqlFunction.java:47) > at > org.apache.flink.table.planner.plan.utils.AggregateUtil$$anonfun$isTableAggregate$2.apply(AggregateUtil.scala:750) > at > org.apache.flink.table.planner.plan.utils.AggregateUtil$$anonfun$isTableAggregate$2.apply(AggregateUtil.scala:750) > at > scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234) > at > scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234) > at > scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) > at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48) > at scala.collection.TraversableLike$class.map(TraversableLike.scala:234) > at scala.collection.AbstractTraversable.map(Traversable.scala:104) > at > org.apache.flink.table.planner.plan.utils.AggregateUtil$.isTableAggregate(AggregateUtil.scala:750) > at > org.apache.flink.table.planner.plan.utils.RelExplainUtil$.streamGroupAggregationToString(RelExplainUtil.scala:346) > at > org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecGroupAggregate.explainTerms(StreamExecGroupAggregate.scala:109) > at > org.apache.calcite.rel.AbstractRelNode.explain(AbstractRelNode.java:307) > at > org.apache.calcite.rel.AbstractRelNode.computeDigest(AbstractRelNode.java:388) > at > org.apache.calcite.rel.AbstractRelNode.recomputeDigest(AbstractRelNode.java:351) > at > org.apache.calcite.rel.AbstractRelNode.onRegister(AbstractRelNode.java:345) > at > org.apache.calcite.plan.volcano.VolcanoPlanner.registerImpl(VolcanoPlanner.java:1668) > at > org.apache.calcite.plan.volcano.VolcanoPlanner.register(VolcanoPlanner.java:846) > at > org.apache.calcite.plan.volcano.VolcanoPlanner.ensureRegistered(VolcanoPlanner.java:868) > at > org.apache.calcite.plan.volcano.VolcanoPlanner.ensureRegistered(VolcanoPlanner.java:1939) > at > org.apache.calcite.plan.volcano.VolcanoRuleCall.transformTo(VolcanoRuleCall.java:129) > ... 60 more > {code} -- This message was sent by Atlassian Jira (v8.3.4#803005)